Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gen-Hau Fan"'
Publikováno v:
IEEE Transactions on Consumer Electronics. 55:199-204
An effective demosaicing is presented to restore the missing pixels of images captured from single-sensor cameras. The proposed method uses sub-image subband correlation to enable a good initial interpolation and accurate edge detection. Experimental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b3e6fcbd15b24e2cae521a02fe9bb8
https://doi.org/10.1109/tce.2009.4814435
https://doi.org/10.1109/tce.2009.4814435
Autor:
Chung-Yen Su, Gen-Hau Fan
Publikováno v:
Advances in Visual Computing ISBN: 9783540896456
ISVC (2)
ISVC (2)
Lane detection is crucial for autonomous driving. In this paper, we present an effective and fast lane detection algorithm. The proposed algorithm includes three novelties. First, we set a region of interest (ROI) appropriate to reduce nonessential c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc469beef56129cca7c872e1183823ce
https://doi.org/10.1007/978-3-540-89646-3_94
https://doi.org/10.1007/978-3-540-89646-3_94
Autor:
Su, Chung-Yen, Fan, Gen-Hau
Publikováno v:
Advances in Visual Computing (9783540896456); 2008, p942-948, 7p
Autor:
Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Jörg Peters, James Klosowski, Laura Arns, Yu Ka Chun, Theresa-Marie Rhyne, Laura Monroe
It is with greatpleasure that we present the proceedings of the 4th International Symposium on Visual Computing (ISVC 2008) in Las Vegas, Nevada. ISVC o?ers a common umbrella for the four main areas of visual computing including vision, graphics, vis